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J Immigr Minor Health ; 26(3): 482-491, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38170427

ABSTRACT

The purpose of this study was to describe the health status and barriers of people who sought care on a free mobile health clinic for women without insurance in California. Participants were 221 women who attended the Salud para Mujeres (Women's Health) mobile medical clinic between 2019 and 2021. Medical chart abstractions provided data on sociodemographic factors, medical history, barriers to care, depressive symptoms, and dietary factors. Anthropometric measure, blood pressure, and biomarkers of cardiometabolic disease risk were also abstracted. Participants were young adult (29.1 [SD 9.3] years), Hispanic (97.6%), farm-working (62.2%) women from Mexico (87.0%). Prevalent barriers to accessing (non-mobile) medical care included high cost (74.5%), language (47.6%), hours of operation (36.2%), and transportation (31.4%). The majority (89.5%) of patients had overweight (34.0%) or obesity (55.5%), and 27% had hypertension. Among those (n = 127) receiving a lipid panel, 60.3% had higher than recommended levels of low-density lipoprotein and 89% had lower than recommended levels of high-density lipoprotein. Point-of-care HbA1c tests (n = 133) indicated that 9.0% had diabetes and 24.8% had prediabetes. Over half (53.1%) of patients reported prevalent occupational exposure to pesticides and 19% had moderate to severe depressive symptoms. Weekly or more frequent consumption of sugar sweetened beverages (70.9%) and fast food (43.5%) were also prevalent. Mobile health units have potential for reaching women who face several barriers to care and experience major risk factors for cardometabolic disease. Findings suggest a compelling need to assure that Hispanic and Indigenous women and farmworkers have access to healthcare.


Subject(s)
Health Services Accessibility , Hispanic or Latino , Mobile Health Units , Humans , Female , Adult , Health Services Accessibility/statistics & numerical data , Hispanic or Latino/statistics & numerical data , California/epidemiology , Young Adult , Medically Uninsured/statistics & numerical data , Health Status , Socioeconomic Factors , Mexico/ethnology , Middle Aged , Sociodemographic Factors , Hypertension/ethnology , Hypertension/epidemiology
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